System and Method for Estimating Implement Load Weights for a Work Vehicle

ABSTRACT

A method for estimating load weights for an implement of a work vehicle may include controlling movement of a boom of the work vehicle such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom, wherein each measurement region is overlapped by at least one adjacent measurement region of the overlapping measurement regions across the angular travel range. The method may also include receiving load-related data associated with a load weight for the implement as the boom is moved across the overlapping measurement regions and determining a region load weight for at least one measurement region of the overlapping measurement regions based on the load-related data. In addition, the method may include calculating a final load weight for the implement based on the region load weight(s).

FIELD OF THE INVENTION

The present subject matter relates generally to work vehicles and, more particularly, to a system and method for estimating the load weight carried by an implement of a work vehicle.

BACKGROUND OF THE INVENTION

Work vehicles having loader arms or booms, such as wheel loaders, skid steer loaders, and the like, are a mainstay of construction work and industry. For example, wheel loaders typically include a boom pivotally coupled to the vehicle's chassis that can be raised and lowered at the operator's command. The boom typically has an implement attached to its end, thereby allowing the implement to be moved relative to the ground as the boom is raised and lowered. For example, a bucket is often coupled to the boom, which allows the wheel loader to be used to carry supplies or particulate matter, such as gravel, sand, or dirt, around a worksite or to transfer such supplies or matter to an adjacent transport vehicle (e.g., a truck or railroad car).

When using a work vehicle to perform a material moving operation, it is often desirable to have an accurate estimate of the load weight being carried by the bucket or other implement. For instance, when transferring materials to a transport vehicle, load weight estimates may be used to determine how much material has been loaded onto the transport vehicle to ensure that its load capacity is not exceeded. In this regard, several systems have been developed that attempt to estimate the load weight being carried by within a bucket. However, to date, such systems lack the accuracy and/or reliability typically desired by operators of commercial work vehicles.

Accordingly, an improved system and method for estimating the load weight carried by an implement of a work vehicle would be welcomed in the technology.

BRIEF DESCRIPTION OF THE INVENTION

Aspects and advantages of the invention will be set forth in part in the following description, or may be obvious from the description, or may be learned through practice of the invention.

In one aspect, the present subject matter is directed to a method for estimating load weights for an implement of a work vehicle. The method may include controlling, with one or more computing devices, movement of a boom of the work vehicle such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom, wherein each measurement region is overlapped by at least one adjacent measurement region of the overlapping measurement regions across the angular travel range. The method may also include receiving, with the computing device(s), load-related data associated with a load weight for the implement as the boom is moved across the overlapping measurement regions and determining, with the computing device(s), a region load weight for at least one measurement region of the overlapping measurement regions based on the load-related data. In addition, the method may include calculating, with the computing device(s), a final load weight for the implement based on the region load weight(s).

In another aspect, the present subject matter is directed to a method for estimating load weights for an implement of a work vehicle. The method may include controlling, with one or more computing devices, movement of a boom of the work vehicle such that the boom is moved across a plurality of measurement regions defined along an angular travel range of the boom and receiving, with the computing device(s), load-related data associated with a load weight for the implement as the boom is moved across the plurality of measurement regions. In addition, the method may include determining, with the computing device(s), a region load weight for each of the measurement regions based on the load-related data and determining, with the computing device(s), that a detected load variation in the region load weights for successive measurement regions of the measurement regions exceeds a load variation threshold. Moreover, the method may include calculating, with the computing device(s), the final load weight for the implement based only on the region load weights determined for a group of measurement regions of the measurement regions across which the boom was moved after the detected load variation.

In a further aspect, the present subject matter is directed to a system for estimating implement load weights for a work vehicle. The system may include a lift assembly having a boom and an implement coupled to the boom and a controller configured to control the operation of the lift assembly. The controller may include a processor and associated memory. The memory may store instructions, that when implemented by the processor, configure the controller to control movement of the boom such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom, wherein each measurement region being overlapped by at least one adjacent measurement region of the overlapping measurement regions across the angular travel range. The controller may also be configured to receive load-related data associated with a load weight for the implement as the boom is moved across the overlapping measurement regions, determine a region load weight for at least one measurement region of the overlapping measurement regions based on the load-related data, and calculate a final load weight for the implement based on the region load weight(s).

These and other features, aspects and advantages of the present invention will become better understood with reference to the following description and appended claims. The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

A full and enabling disclosure of the present invention, including the best mode thereof, directed to one of ordinary skill in the art, is set forth in the specification, which makes reference to the appended figures, in which:

FIG. 1 illustrates a side view of one embodiment of a work vehicle in accordance with aspects of the present subject matter;

FIG. 2 illustrates a schematic view of one embodiment of a system for estimating a load weight carried by an implement of a work vehicle in accordance with aspects of the present subject matter;

FIG. 3 illustrates a side view of a boom of the work vehicle shown in FIG. 1, particularly illustrating a travel range for the boom divided into a plurality of measurement regions in accordance with aspects of the present subject matter;

FIG. 4 illustrates an example plot that graphs boom movement commands as function of time as a boom is being moved across its travel range;

FIG. 5 illustrates an example plot that graphs boom movement commands, steering commands, shifting commands, and engine speed commands over time as a function of time as a boom is being moved across its travel range;

FIG. 6 illustrates a flow diagram of one embodiment of a method for estimating a load weight carried by an implement of a work vehicle in accordance with aspects of the present subject matter;

FIG. 7 illustrates an example plot that graphs instantaneous implement load weight as a function of time as a boom is being moved across its travel range; and

FIG. 8 illustrates a flow diagram of another embodiment of a method for estimating a load weight carried by an implement of a work vehicle in accordance with aspects of the present subject matter.

DETAILED DESCRIPTION OF THE INVENTION

Reference now will be made in detail to embodiments of the invention, one or more examples of which are illustrated in the drawings. Each example is provided by way of explanation of the invention, not limitation of the invention. In fact, it will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the scope or spirit of the invention. For instance, features illustrated or described as part of one embodiment can be used with another embodiment to yield a still further embodiment. Thus, it is intended that the present invention covers such modifications and variations as come within the scope of the appended claims and their equivalents.

In general, the present subject matter is directed to a system and method for estimating a load weight carried by an implement of a work vehicle. In particular, a system and method are disclosed that allow for the implement load weight to be estimated by dividing a travel range of a boom of the work vehicle into a plurality overlapping measurement regions, with each measurement region being overlapped by one or more adjacent measurement regions. In such an embodiment, as the boom is moved across all or a portion of the measurement regions, a region load weight (e.g., an average implement load weight) may be determined for each of such measurement regions. A final load weight for the implement may then be calculated based on the region load weights for the various measurement regions.

Additionally, when calculating the final load weight, the load data for one or more of the measurement regions may be discarded or ignored if significant variability is detected for the vehicle's operation and/or for the actual load weight calculations. For instance, if it is determined that the variation of one or more operator-initiated control commands exceeds a predetermined threshold(s) associated with such control command(s) across a given measurement region, the load-related data captured for such measurement region may be discarded or ignored when estimating the implement load weight. Similarly, if it is determined that a significant load variation exists between the region load weights calculated for successive measurement regions, the load weights for any previous measurement regions may be discarded or ignored when calculating the final load weight for the implement.

Referring now to the drawings, FIG. 1 illustrates a side view of one embodiment of a work vehicle 10 in accordance with aspects of the present subject matter. As shown, the work vehicle 10 is configured as a wheel loader. However, in other embodiments, the work vehicle 10 may be configured as any other suitable work vehicle that includes a lift assembly for adjusting the position of an associated implement, such as a skid steer loader, a backhoe loader, a compact track loader and/or the like.

As shown, the work vehicle 10 includes a pair of front wheels 12, (one of which is shown), a pair of rear wheels 14 (one of which is shown) and a frame or chassis 16 coupled to and supported by the wheels 12, 14. An operator's cab 18 may be supported by a portion of the chassis 16 and may house various input devices for permitting an operator to control the operation of the work vehicle 10.

Moreover, as shown in FIG. 1, the work vehicle 10 may include a lift assembly 20 for raising and lowering a suitable implement 22 (e.g., a bucket) relative to a driving surface of the vehicle 10. In several embodiments, the lift assembly 20 may include a boom 24 (e.g., including one or more loader or boom arms) pivotally coupled between the chassis 16 and the implement 22. For example, as shown in FIG. 1, the boom 24 may include a forward end 26 and an aft end 28, with the forward end 26 being pivotally coupled to the implement 22 at a forward pivot point 30 and the aft end 28 being pivotally coupled to a portion of the chassis 16.

In addition, the lift assembly 20 may also include one or more boom cylinders 32 coupled between the chassis 16 and the boom 24 and one or more tilt cylinders 34 coupled between the chassis 16 and the implement 22 (e.g., via a pivotally mounted bellcrank 36 or other mechanical linkage). It should be readily understood by those of ordinary skill in the art that the boom and tilt cylinders 32, 34 may be utilized to allow the implement 22 to be raised/lowered and/or pivoted relative to the driving surface of the work vehicle 10. For example, the boom cylinder(s) 32 may be extended and retracted in order to pivot the boom 24 upward and downwards, respectively, thereby at least partially controlling the vertical positioning of the implement 22 relative to the driving surface. Similarly, the tilt cylinder(s) 34 may be extended and retracted in order to pivot the implement 22 relative to the boom 24 about the forward pivot point 30, thereby controlling the tilt angle or orientation of the implement 22 relative to the driving surface.

The work vehicle 10 may also include a plurality of sensors for monitoring for various operating parameters of the work vehicle 10. For instance, as shown in FIG. 1, the work vehicle 10 may include one or more position sensors 38, 40 for monitoring the position and/or orientation of the boom 24 and/or the implement 22, such as by including a first position sensor 38 provided in operative association with the boom 24 (e.g., at or adjacent to the aft end 28 of the boom 24) and a second position sensor 40 provided in operative association with the bellcrank 36 (e.g., at or adjacent to a pivot point for the bellcrank 36). The position sensors 38, 40 may also allow the movement velocity of the boom 24 and/or the implement 22 to be determined by identifying the change in position of such component(s) over time. Additionally, as shown, the work vehicle 10 may include one or more inclination sensors 42 configured to monitor the angle of inclination of the work vehicle 10, such as by including a dual-axis inclination sensor 42 mounted to the chassis 16 that is configured to monitor the angle of inclination of the work vehicle 10 in both a pitch direction (e.g., the front-to-back inclination) and a roll direction (e.g., the side-to-side inclination). Moreover, as will be described below with reference to FIG. 2, the work vehicle 10 may also include one or more pressure sensors 44, 46 (FIG. 2) for monitoring the pressure of the hydraulic fluid supplied to the boom cylinder(s) 32 and/or the tilt cylinder(s) 34 and/or one or more temperature sensors 48 (FIG. 2) for monitoring the fluid temperature of the hydraulic fluid.

It should be appreciated that the configuration of the work vehicle 10 described above and shown in FIG. 1 is provided only to place the present subject matter in an exemplary field of use. Thus, it should be appreciated that the present subject matter may be readily adaptable to any manner of work vehicle configuration.

Referring now to FIG. 2, a schematic, simplified view of one embodiment of a system 100 for estimating a load weight carried by an implement of a work vehicle is illustrated in accordance with aspects of the present subject matter. In general, the system 100 will be described herein with reference to the work vehicle 10 shown in FIG. 1. However, it should be appreciated that the disclosed system 100 may be utilized with any other suitable work vehicles to allow for the implement load weight to be estimated. It should be appreciated that hydraulic or fluid couplings of the system 100 shown in FIG. 2 are indicated by solid lines. Similarly, communicative links or electrical couplings of the system 100 shown in FIG. 2 are indicated by phantom lines.

As shown in FIG. 2, in several embodiments, the system 100 may include a controller 102 configured to control the operation of one or more components of the work vehicle 10, such as one or more components of the vehicle's drivetrain and/or the vehicle's lift assembly 20. For example, the controller 102 may be communicatively coupled to one or more components of an engine 104 of the work vehicle 10 (e.g., an engine governor or engine control unit (ECU) (not shown)) via one or more communicative links 106 in order to control and/or monitor the speed and/or torque output of the engine 104. Similarly, the controller 102 may be communicatively coupled to one or more components of a transmission 108 of the work vehicle 10 via one or more communicative links 110 to control the operation of the transmission 108. For instance, the controller 102 may be configured to transmit suitable control commands via communicative link 110 to one or more clutch valves (not shown) to control the engagement/disengagement of one or more clutches (not shown) of the transmission 108.

It should be appreciated the controller 102 may generally comprise any suitable processor-based device known in the art, such as one or more computing devices. Thus, in several embodiments, the controller 102 may include one or more processor(s) 112 and associated memory device(s) 114 configured to perform a variety of computer-implemented functions. As used herein, the term “processor” refers not only to integrated circuits referred to in the art as being included in a computer, but also refers to a controller, a microcontroller, a microcomputer, a programmable logic controller (PLC), an application specific integrated circuit, and other programmable circuits. Additionally, the memory 114 of the controller 102 may generally comprise memory element(s) including, but not limited to, computer readable medium (e.g., random access memory (RAM)), computer readable non-volatile medium (e.g., a flash memory), a floppy disk, a compact disc-read only memory (CD-ROM), a magneto-optical disk (MOD), a digital versatile disc (DVD) and/or other suitable memory elements. Such memory 114 may generally be configured to store suitable computer-readable instructions that, when implemented by the processor(s) 112, configure the controller 102 to perform various computer-implemented functions, such as performing the various calculations and/or algorithms described herein (including implementing the flow diagrams described below with reference to FIGS. 6 and 8). In addition, the controller 102 may also include various other suitable components, such as a communications circuit or module, one or more input/output channels, a data/control bus and/or the like.

It should also be appreciated that the controller 102 may correspond to an existing controller of the work vehicle 10 (e.g., an existing engine and/or transmission controller) or the controller 102 may correspond to a separate controller. For instance, in one embodiment, the controller 102 may form all or part of a separate plug-in module that may be installed within the work vehicle 10 to allow for the disclosed system and method to be implemented without requiring additional software to be uploaded onto existing control devices of the vehicle 10.

Moreover, the controller 102 may also be communicatively coupled to one or more components for controlling the operation of the various cylinders 32, 34 of the lift assembly 20 of the work vehicle 10. For example, in several embodiments, the controller 102 may be coupled to one or more pumps 116 and associated control valves 118, 120 for controlling the flow of hydraulic fluid from a fluid tank 122 of the work vehicle 10 to each cylinder 32, 34. Specifically, as shown in FIG. 2, the lift assembly 20 may include a hydraulic pump 116 driven via an output of the engine 104. In such an embodiment, the controller 102 may be communicatively coupled to the hydraulic pump 116 (e.g., via communicative link 124) so that the position or angle of a swash plate of the first hydraulic pump 116 (the swash plate being denoted by diagonal arrow 126 through the pump 116) may be automatically adjusted to regulate the discharge pressure of the pump 116. In one embodiment, the angle of the swash plate 126 may be adjusted via an associated actuator(s) (not shown) configured to be controlled by the controller 102.

As shown in FIG. 2, the hydraulic pump 116 may be fluidly coupled to one or more boom control valves 118 and one or more tilt control valves 120 via one or more fluid lines 128. The boom control valve(s) 118 may generally be configured to regulate the supply of hydraulic fluid to the boom cylinder(s) 32, thereby controlling the extension/retraction of the boom cylinder(s) 32. Similarly, the tilt control valve(s) 120 may generally be configured to regulate the supply of hydraulic fluid to the tilt cylinder(s) 34, thereby controlling the extension/retraction of the tilt cylinder(s) 34. In several embodiments, the control valves 118, 120 may correspond to electrically controlled valves (e.g., solenoid-activated valves) to allow the controller 102 to automatically control the operation of each valve 118, 120. For instance, as shown in FIG. 2, the controller 102 may be communicatively coupled to the control valves 118, 120 via associated communicative links 130, 132, thereby allowing the controller 102 to regulate the extension/retraction of the associated cylinders 32, 34 via control of the valves 118, 120.

The controller 102 may also be communicatively coupled to one or more operator-controlled input devices 134 located within the vehicle's cab 18. As such, the controller 102 may be configured to receive various operator-initiated control commands for controlling the operation of the work vehicle 10. For instance, the controller 102 may be communicatively coupled to an engine throttle lever to allow the controller 102 to receive control signals associated with operator-initiated engine speed commands for adjusting the engine speed of the engine 104 (e.g., as indicated by arrow 136 in FIG. 2). In addition, the controller 102 may be communicatively coupled to a shift lever or other suitable input device configured to allow the operator to transmit control signals associated with operator-initiated shift commands for adjusting the current gear ratio of the transmission 108 (e.g., as indicated by arrow 138 in FIG. 2). Similarly, the controller 102 may be communicatively coupled to a steering sensor configured to allow the controller 102 to receive steering commands (e.g., as indicated by arrow 140 in FIG. 2) associated with adjustments in the vehicle's steering angle as the operator manipulates the steering wheel or other steering device of the work vehicle 10. Moreover, the controller 102 may be communicatively coupled to one or more joysticks for receiving control commands associated with controlling the movement of the boom 32 and/or the implement 34. For instance, the controller may be coupled to both a boom joystick for receiving operator-initiated control commands associated with controlling the movement of the boom 24 (e.g., as indicated by arrow 142 in FIG. 2) and a tilt joystick for receiving operator-initiated control commands associated with controlling the movement of the implement 22 (e.g., as indicated by arrow 144 in FIG. 2).

As indicated above, the controller 102 may also be communicatively coupled to one or more position sensors 38, 40 (e.g., via communicative links 146, 148) for monitoring the position(s) and/or orientation(s) of the boom 24 and/or the implement 22. In several embodiments, the position sensor(s) 38, 40 may correspond to one or more angle sensors (e.g., a rotary or shaft encoder(s) or any other suitable angle transducer(s)) configured to monitor the angle or orientation of the boom 24 and/or implement 22 relative to one or more reference points. For instance, in one embodiment, a first angle sensor(s) may be positioned at the rear pivot point for the boom 24 to allow the angular position of the boom 24 relative to the work vehicle 10 to be monitored. Similarly, in one embodiment, a second angle sensor(s) may be positioned at one of the pivot points for the bellcrank 36 to allow the position of the implement 22 relative to the boom 24 to be monitored. In alternative embodiments, the position sensors 38, 40 may correspond to any other suitable sensor(s) that is configured to provide a measurement signal associated with the position and/or orientation of the boom 24 and/or the implement 22. It should be appreciated that the position sensors 38, 40 may also allow the movement velocity of the boom 24 and/or the implement 22 to be determined by identifying the change in position of such component(s) over time.

Moreover, as indicated above, the controller 102 may also be communicatively coupled to one or more inclination sensors 42 (e.g., via communicative link 150) configured to monitor the angle of inclination of the work vehicle 10. For example, in several embodiments, the inclination sensor(s) 42 may comprise one or more one or more accelerometers, inclinometers, gyroscopes and/or any other suitable inclination sensor(s) configured to monitor the angle of inclination of the work vehicle 10 by measuring its orientation relative to gravity. For instance, as described above with reference to FIG. 1, the inclination sensor(s) 42 may correspond to a dual-axis sensor mounted to a portion of the chassis 16 to allow the sensor(s) 42 to monitor the angle of inclination of the work vehicle 10 in two directions (e.g., the pitch and roll directions of the work vehicle 19). However, in other embodiments, the inclination sensor(s) 42 may be disposed on the work vehicle 10 at any other suitable location.

Additionally, in several embodiments, the system 100 may also include one or more pressure sensors 44, 46 communicatively coupled to the controller 102 (e.g., via communicative links 152, 154) to allow the controller 102 to monitor the fluid pressure of the hydraulic fluid being supplied to the boom cylinder(s) 32 and/or the tilt cylinder(s) 34. For instance, as shown in FIG. 2, the controller 102 may be coupled to first and second pressure sensors 44, 46 provided in fluid communication with the fluid lines provided between the boom control valve(s) 118 and the boom cylinder(s) 32, with the first pressure sensor 44 being configured to monitor the fluid pressure of the hydraulic fluid supplied to the rod-side of the boom cylinder(s) 32 and the second pressure sensor being configured to monitor the fluid pressure of the hydraulic fluid supplied to the piston-side of the boom cylinder(s) 32. Although not shown, it should be appreciated that similar pressure sensors may also be provided in fluid communication with the fluid lines associated with the tilt cylinder(s) 34 to monitor the fluid pressure of the hydraulic fluid being supplied to such cylinder(s) 34.

Referring still to FIG. 2, the controller 102 may also be communicatively coupled to one or more temperature sensors 48 (e.g., via communicative link 156) configured to allow the temperature of the hydraulic fluid utilized within the vehicle's hydraulic system to be monitored. For instance, as shown in FIG. 2, the temperature sensor(s) 48 may, in one embodiment, be provided in operative association with a return line 158 for the hydraulic fluid to allow the fluid temperature of the hydraulic fluid being returned to the fluid tank 122 to be monitored.

It should be appreciated that the controller 102 may also be communicatively coupled to any other suitable sensors configured to monitor one or more operating parameters of the work vehicle 10 and/or its components. For instance, the controller 102 may also be communicatively coupled to a suitable sensor (not shown) that allows the controller 102 to monitored the speed and/or acceleration of the work vehicle 10.

As indicated above, the disclosed system 100 may be utilized to calculate or estimate a current load weight being carried by the vehicle's implement 22. Specifically, in several embodiments, the controller 102 may include known mathematical relationships and/or look-up tables stored within its memory 114 that correlate the vehicle's boom geometry and various relevant operating parameters (e.g., the angular position of the boom 24, the angular position of the implement 22, the velocity of the boom 24 and/or the implement 22, the angle of inclination of the work vehicle 10, the boom cylinder pressure(s), the temperature of the hydraulic fluid, and the speed and/or acceleration of the work vehicle 10) to an associated load weight of the implement 22. Thus, by continuously monitoring the relevant operating parameters using the various sensors described above (e.g., the position sensors 38, 40, the inclination sensors 42, the pressure sensors 44, 46 the temperature sensors 48, and the like), the controller 102 may calculate a current load weight for the implement 22 based on such load-related data. This estimated load weight may then be displayed to the operator of the work vehicle 10 via a suitable display device housed within the cab 18.

In several embodiments, the controller 102 may be configured to execute static measurement method in which the load weight for the implement 22 is calculated when the boom 24 are stationary. For instance, when boom 24 has stopped moving or is otherwise stationary, the controller 102 may be configured to receive sensor data from the various sensors 38, 40, 42, 44, 46, 48 related to the angular position of the boom 24 and/or the implement 22, the angle of inclination of the work vehicle 10, the boom cylinder pressure(s), and/or the temperature of the hydraulic fluid. Based on such monitored operating parameters, the controller 102 may then calculate a “static” load weight for the implement 22 using the mathematical relationships and/or look-up tables stored within its memory 114.

In addition to the “static” measurements, the controller 102 may also be configured to dynamically calculate the load weight for the implement 22 as the boom 24 is being moved across a range of angular boom positions. In such embodiments, the travel range of the boom 24 may, for example, be divided into a plurality of distinct measurement regions. By receiving the load-related data from the various sensors 38, 40, 42, 44, 46, 48 as the boom 24 is moved across one or more of the distinct measurement regions, the controller 102 may be configured to calculate a region load weight (e.g., an average implement load weight) for each measurement region. The controller 102 may then calculate a final load weight for the implement 22 as the total average of all or portion of the region load weights calculated for the measurement regions across which the boom 24 was moved. In doing so, as will be described in greater detail below with reference to FIGS. 4, 5, 7, and 8, the controller 102 may be configured to discard or ignore the load-related data received for any measurement region(s) that the controller 102 determines is likely to be inaccurate or unreliable due to unstable or varying operation of the work vehicle 10. In such instance, the controller 102 may estimate the final load weight for the implement 22 as the total average of only the region load weights determined as a function of the load-related data that the controller 102 deems reliable based on analysis of the stability of the vehicle's operation.

One example of the manner in which the travel range of the boom 24 may be divided into a plurality of distinct measurement regions is illustrated in FIG. 3. As shown in FIG. 3, the boom 24 may include a minimum boom position (indicated by line 160) and a maximum boom position (indicated by line 162), with the travel range 164 for the boom 24 being defined between the minimum and maximum boom positions 160, 162. Additionally, as shown in FIG. 3, the travel range 164 is divided into a plurality of distinct measurement regions. For instance, in the illustrated embodiment, the travel range 164 is divided into eight different measurement regions (e.g., a first region 166, a second region 168, a third region 170, a fourth region 172, a fifth region 174, a sixth region 176, a seventh region 178, and an eighth region 180), with adjacent regions 166, 168, 170, 172, 174, 176, 178, 180 being indicated by alternating dashed and phantom lines to distinguish the various regions within the drawing. However, in other embodiments, the travel range 164 may be divided into any other suitable number of measurement regions, including more than eight regions or less than eight regions. Each measurement region may generally span a given sub-range of angular boom positions, such as 5 degrees, 10 degrees, 15 degrees, 20 degrees, 25 degrees, and/or the like, with the specific angular range of the measurement regions generally being determined as a function of the total number of regions and the total span of the travel range 164 of the boom 24.

In several embodiments, the measurement regions 166, 168, 170, 172, 174, 176, 178, 180 may be configured to overlap one another across the travel range 164 of the boom 24. For instance, as shown in the illustrated embodiment, the measurement regions are defined such that the center of each measurement region defines a boundary line(s) for an adjacent measurement region(s). Specifically, as shown in FIG. 3, the first measurement region 166 starts at the minimum boom position 160 and extends upwardly therefrom a predetermined angular range to the center of the second measurement region 168. Similarly, the second measurement region 168 starts at the center of the first measurement region 166 and extends upwardly therefrom the predetermined angular range to the center of third measurement region 170 and so on for the remainder of the measurement regions. Thus, in an embodiment in which each measurement region extends an angular range corresponding to twenty degrees across the travel range 164 of the boom 24, the first measurement region 166 may be defined from zero degrees (i.e., defined at the minimum boom position 160) to twenty degrees, the second measurement region 168 may be defined from ten degrees to thirty degrees, the third measurement region 170 may be defined from twenty degrees to forty degrees, and so on.

It should be appreciated that, in other embodiments, the measurement regions need not be configured to overlap one another from center-to-center as shown in FIG. 3. For instance, in alternative embodiment, each measurement region may be overlapped by two neighboring measurement regions, such as by overlapping the measurement regions at locations defined at 33% and 66% across each region's angular range. In another embodiment, each measurement region may be overlapped by three neighboring measurement regions, such as by overlapping the measurement regions at locations defined at 25%, 50%, and 75% across each region's angular range. In an even further embodiment, each measurement region may be overlapped by four or more neighboring regions. In such embodiments, by overlapping the measurement regions at smaller intervals, a greater number of measurement regions may be defined across the booms travel range 164.

As indicated above, to calculate a final load weight for the implement 22, load-related data may be collected from the various sensors 38, 40, 42, 44, 46, 48 as the boom 24 is moved across all or a portion of its travel range 164. For instance, assuming that the boom 24 is moved across its entire travel range 164, a first dataset may be collected from the sensors as the boom 24 is moved across the first measurement region 166. Similarly, a second dataset may be collected from the sensors as the boom 24 is moved across the second measurement region 168, a third dataset may be collected from the sensors as the boom 24 is moved across the third measurement region 170, and so on until the boom 24 reaches the maximum boom position 162. Each dataset may then be analyzed to calculate a region load weight (e.g., an average implement load weight) for its associated measurement region. The various region load weights calculated for the measurement regions (less any measurement regions with load-related data deemed unreliable) may then be averaged to calculate the final load weight for the implement 22.

It should be appreciated that the boom 24 need not be passed through all of the measurement regions 166, 168, 170, 172, 174, 176, 178, 180 to allow a final load weight to be calculated. For instance, when the boom 24 is only passed through a portion of the measurement regions, the region load weights calculated for those measurement regions (less any regions with data deemed unreliable) may be used as the basis for determining the final load weight.

Additionally, it should be appreciated that, by providing overlapping measurement regions, significantly more measurements regions may be defined across the travel range 164 for the boom 24 as opposed to using non-overlapping measurement regions. As such, the controller 102 may be configured to collect data and determine load weight estimates across a larger number of measurement regions, thereby providing the potential for increased accuracy in the final load weight calculated for the implement 22. In addition, the overlapping measurement regions allow for a wider measurement range to be used when movement of the boom 24 is started and/or stopped at a location defined between the minimum and maximum boom positions 160, 162. For instance, if the vertically upward movement of the boom 24 is initiated from point 182 shown in FIG. 3, the controller 102 may begin collecting load-related data for estimating the load weight as the boom 24 enters the second measurement region 168 (e.g., which starts at the center of the first measurement region 166) as opposed to waiting until the end of the first measurement region 166 (e.g., which would be the case for non-overlapping measurement regions). Moreover, the overlapping measurement regions may also allow wider regions to be used without sacrificing the total number of measurement regions. As such, the angular range of each measurement region may be selected to be sufficiently large to ensure that pressure oscillations observed in the measurements from the pressure sensors 44, 46 can be averaged out across each region, thereby improving the accuracy of the region load weights calculated for the measurement regions.

Referring back to FIG. 2, the controller 102 may also be configured to execute a calibration procedure when the disclosed system 100 is used for the first time in association with a work vehicle 10 and/or periodically after extended use (e.g., every six months) to allow adjustments to be made, if necessary, to the predetermined relationships or look-up tables stored within the controller's memory 114 that relate the various monitored operating parameters to the implement load weight. Specifically, in several embodiments, to calibrate the system 100 for providing dynamic measurements of the load weight, the boom 24 may be raised from the minimum boom position 160 to the maximum boom position 162 at a minimum lifting speed, a maximum lifting speed, and an intermediate lifting speed while no load is being carried by the implement 22, with the sensor data being collected as the boom 24 is moved across its travel range 164 at each speed. Such process may then be repeated while the implement 22 is carrying a known load that is at or near the maximum weight load for the implement 22, with the sensor data being collected as the boom 24 is moved across its travel range 164 at the minimum lifting speed, the maximum lifting speed, and the intermediate lifting speed. By collecting such data, a relationship may be defined that correlates the load weight to the boom cylinder force (i.e., the monitored pressure values received from the pressure sensors 44, 46), the velocity of the boom 24, and the position or angle of the boom 24. The relationship may then be used, for example, as an interpolation map for calibrating the system 100 to provide dynamic load measurements.

It should be appreciated that, as an alternative to using a minimum lifting speed, a maximum lifting speed, and an intermediate lifting speed for the calibration procedure, any other suitable combination of lifting speeds may be used, such as simply the minimum lifting speed and the maximum lifting speed. It should also be appreciated that, in one embodiment, the calibration data may be used as a nominal condition for the system 100. In such instance, suitable mathematical models or other stored relationships may be used to compensate for deviations from this nominal condition, such as compensation for difference bucket angles, inclination angles, vehicle accelerations, lift accelerations, and/or the like.

Additionally, it should be appreciated that the controller 102 may also be configured to execute a similar calibration procedure to calibrate the system 100 for providing static measurements of the load weight. For instance, while the implement 22 is carrying no load, the boom 24 may be moved to a minimum weighing position (e.g., a position immediately above the minimum boom position 160) and stopped, then to an intermediate position between the minimum weighing position and the maximum boom position 162 and stopped, and then to the maximum boom position 164 and stopped, with the sensor data being collected at each position while the boom 24 is stopped. Such process may then be repeated while the implement 22 is carrying a known load that is at or near the maximum weight load for the implement 22, with the sensor data being collected at the minimum weighing position, the intermediate position, and the maximum boom position 162 while the boom 24 is stopped. By collecting such data, a relationship may be defined that correlates the load weight to the boom cylinder force (i.e., the monitored pressure values received from the pressure sensors 44, 46) and the position or angle of the boom 24. The relationship may then be used, for example, as an interpolation map for calibrating the system 100 to provide static load measurements.

Moreover, in one embodiment, the controller 102 may be configured to automatically implement the static and/or dynamic calibration procedure(s). Specifically, upon receiving an input from the operator associated with initiating the calibration procedure, the controller 102 may be configured to automatically control the movement of the boom 24 while the load-related data is being collected. Such an automated calibration procedure would allow for improved accuracy and repeatability for the associated calibration measurements.

As indicated above, when the controller 102 is providing dynamic load measurements, the controller 102 may be configured to discard or ignore any load-related data received during an operational period(s) across which the controller 102 determines that the data is likely to be inaccurate or unreliable due to unstable or sufficiently variable operation of the work vehicle 10. Specifically, in several embodiments, as the boom 24 is being moved across its travel range 164 and load-related sensor data is being collected, the controller 102 may be configured to identify instances in which the variation of one or more operator-initiated control commands exceeds a predetermined variance threshold(s) associated with such control command(s) across a given operational period (e.g., a given range of boom movement or a given time period). In such instances, the load-related data captured during such operational period(s) may be discarded or ignored when estimating the implement load weight. As such, the load weight may be calculated based on data collected only when it is determined that the vehicle's operation is relatively stable.

For instance, FIG. 4 illustrates a graphical representation of one example of how the operator-initiated boom movement commands (e.g., received via the associated boom joystick or other suitable input device 134) may be varied over time as the boom 24 is moved across its travel range 164. As shown in FIG. 4, the boom's travel range 164 has been divided into the various measurement regions 166, 168, 170, 172, 174, 176, 178, 180 described above with reference to FIG. 3, with each measurement region corresponding to a discrete operational period along which the load-related sensor data is being collected by the controller 102 as the boom 24 is moved along the angular range associated with each region.

As shown, the boom movement command (indicated by line 184) generally varies with time as the boom 24 is moved across the various measurement regions. In several embodiments, the controller 102 may be configured to compare a rate of change of the boom movement command (i.e., the slope of line 184) to a predetermined variance threshold defined for the boom movement command to identify instances in which the variance or rate of change of the boom movement command exceeds the threshold. For each instance in which the variation in the boom command exceeds the predetermined variance threshold, the controller 102 may identify the associated measurement region containing such variable boom operation as an operating period across which the load-related data being received from the sensors may be inaccurate or unreliable. The controller 102 may then discard or ignore the load-related data received within such measurement region(s) when calculating the final load weight for the implement. For instance, as shown in FIG. 4, from time to t₀ time t₁, from time t₂ to time t₃, and from time t₄ to time t₅, the boom movement command is highly variable. In such instance, assuming that the rate of change of the boom movement command exceeds the predetermined variance threshold across such time periods, the controller 102 may be configured to disregard or ignore the load-related data received within the measurement regions associated with the time periods (e.g., the first measurement region 166, the second measurement region 168, the fifth measurement region 174, and the sixth measurement region 176). Rather, to determine the final load weight for the implement 22, the controller 102 may be configured to calculate the region load weight for the remaining measurement regions (e.g., such as an average load weight for the third measurement region 170, the fourth measurement region 172, the seventh measurement region 178, and the eighth measurement region 180) based on the load-related data received within such measurement regions. The controller 102 may then calculate the final load weight by averaging the region load weights determined for the remaining measurement regions 170, 172, 178, 180.

It should be appreciated that, as an alternative to discarding or ignoring the load-related data as a function of the measurement regions containing sufficiently variable boom operation, the load-related data may, instead, be discarded or ignored as function solely of the time periods containing such variable boom operation. For instance, in the example shown in FIG. 4, the controller 102 may be configured to identify the time periods within which the variation or rate of change of the boom movement command exceeds the predetermined variation threshold (e.g., the time period between time to and time t₁, the time period between time t₂ to time t₃, and the time period between time t₄ to time t₅). In such instance, the controller 102 may be configured to discard or ignore the load-related data received during such time periods and, thus, may determine the final load weight based on the load-related data received during the remainder of the time across which the boom 24 was being moved.

It should also be appreciated that, in addition to the boom movement commands (or as an alternative thereto), the controller 102 may also be configured to take into account any other suitable operator-initiated control commands when determining whether load-related data should be used to calculate the final load weight for the implement 22. For instance, FIG. 5 illustrates a graphical representation of one example of how the operator-initiated boom movement commands (e.g., indicated by line 186), steering commands (e.g., indicated by line 188), transmission shift commands (e.g., indicated by line 190), and engine speed commands (e.g., indicated by line 192) may be varied over time as the boom 24 is moved across its travel range 164. Similar to the embodiment described above, the controller 102 may be configured to compare a rate of change of each operator-initiated command (i.e., the slope of each line 186, 188, 190, 192) to a predetermined variance threshold defined for such operator-initiated command to identify instances in which the variance or rate of change of the command exceeds the threshold. For example, as shown in FIG. 4, from time t₁ to time t₂, from time t₁₀ to time t₁₁, and from time t₁₂ to time t₁₃, the boom movement command 186 is highly variable. Similarly, from time t₂ to time t₃, the engine speed command 192 is highly variable while from time t₄ to time t₅ and from time t₈ to time t₉, the steering command 188 is highly variable. Moreover, from time t₆ to time t₇, the transmission shift command 190 is highly variable. In such instance, assuming that the rate of change for the relevant operator-initiated command exceeds the corresponding predetermined variance threshold for such command across the associated time periods, the controller 102 may be configured to disregard or ignore the load-related data received within such time periods (or disregard/ignore the load-related data received within measurement regions containing such time periods). The controller 102 may then calculate the final load weight based on the load-related data received when the operator-initiated commands are relatively stable (e.g., within the time falling outside the above-described time periods or within the measurement regions excluding such time periods).

It should be appreciated that, although FIG. 5 illustrates an embodiment in which various operator-initiated control commands are used in combination by the controller 102 to determine whether specific load-related data should be used in calculating the final load weight for the implement 22, each operator-initiated control command may also be used individually by the controller 102 to make such determinations. For instance, similar to the embodiment described above with reference to FIG. 4 in relation to the boom movement commands, any one of the steering commands, the transmission shift commands, the engine speed commands, or any other suitable control commands may be used in isolation as the basis for determining whether load-related data should be used or discarded/ignored. It should also be appreciated that any other suitable operator-initiated control commands may be used by the controller 102 to determine whether specific load-related data should be used in calculating the final load weight for the implement 22, such as the control commands received via the tilt joystick for controlling the movement of the implement 22 (e.g., via control of the operation of the associated tilt cylinder(s) 34).

Referring now to FIG. 6, a flow diagram of one embodiment of a method 200 for estimating load weights for an implement of a work vehicle is illustrated in accordance with aspects of the present subject matter. In general, the method 200 will be described herein with reference to the work vehicle 10 shown in FIG. 1, as well as the various system components shown in FIG. 2. However, it should be appreciated that the disclosed method 200 may be implemented with work vehicles having any other suitable configuration and/or within systems having any other suitable system configuration. In addition, although FIG. 6 depicts steps performed in a particular order for purposes of illustration and discussion, the methods discussed herein are not limited to any particular order or arrangement. One skilled in the art, using the disclosures provided herein, will appreciate that various steps of the methods disclosed herein can be omitted, rearranged, combined, and/or adapted in various ways without deviating from the scope of the present disclosure.

As shown in FIG. 6, at (202), the method 200 may include controlling the movement of a boom of the work vehicle such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom. For instance, as indicated above, the travel range 164 of the boom 24 may be divided into a plurality of measurement regions, with each measurement region being overlapped by at least one adjacent measurement region across the boom's angular travel range 164. In such an embodiment, the controller 102 may be configured to raise and lower the boom 24 across all or a portion of the overlapping measurement regions defined across its travel range 164 by controlling the operation of the associated components of the lift assembly 20, such as by the hydraulic pump(s) 116, the boom control valve(s) 118, and the boom cylinder(s) 32, based on the boom movement commands received from the operator. Alternatively, the controller 102 may be configured to automatically control the operation of the associated components of the lift assembly 20 such that the boom 24 is moved at a controlled rate or speed without the necessity of receiving boom movement commands from the operator.

In addition, at (204), the method 200 may include receiving load-related data associated with a load weight for the implement as the boom is moved across the overlapping measurement regions. For instance, as indicated above, the controller 102 may be configured to receive load-related data associated with the implement load weight from a plurality of sensors, such as one or more pressure sensors 44, 46, position sensors 38, 40, inclination sensors 42, temperature sensors 48, and/or the like. Such data may, for example, include, but is not limited to, pressure measurements related to the fluid pressure of the hydraulic fluid supplied to the boom cylinder(s) 32, position measurements related to the angular position of the boom 24 and/or the implement 22, velocity data for the boom 24 and/or the implement 22, orientation measurements associated with the inclination angle of the work vehicle 10 (e.g., in the pitch direction and/or the roll direction), temperature measurements of the fluid temperature of the hydraulic fluid supplied to the cylinder(s) 32, 34, and/or measurements related to the speed and/or acceleration of the work vehicle 10.

Moreover, at (206), the method 200 may include determining a region load weight for at least one measurement region of the plurality of overlapping measurement regions based on the load-related data. Specifically, as indicated above, the controller 102 may be configured to calculate a region load weight for each of the measurement regions across which the boom 24 is moved (less any measurement regions with load-related data deemed unreliable) based on the load-related data received for each measurement region. For instance, the controller 102 may store a dataset of load-related data for each measurement region across which the boom 24 is moved. Assuming that the load-related data for a given dataset is deemed reliable (e.g., based on the stability of the operator-initiated commands across such measurement region and/or based on the stability of the calculated load weights), the controller 102 may then calculate an average implement load weight for the associated measurement region based on its corresponding dataset.

Referring still to FIG. 6, at (208), the method 200 may include calculating a final load weight for the implement based on the region load weight(s). For example, as indicated above, the controller 102 may be configured to determine the final load weight for the implement 22 by averaging the various region load weights calculated for the various measurement regions.

As indicated above, in addition to filtering out or ignoring load-related data associated with variability in the operator-initiated control commands received by the controller 102, significant variations in the load weight calculated by the controller 102 may also be identified and utilized as a means to disregard or ignore specific sets of load-related data and/or specific load weight calculations. Specifically, when a significant change in the implement load weight calculated by the controller 102 is detected (e.g., a change above a given a load variance threshold), such a detected load variation may suggest that an additional load has been added to the implement 22 after the load weight calculations were initiated or that there was an additional resistance to lifting the boom 22 at the initiation of the load weight calculations which was subsequently overcome (e.g., when the implement 22 was initially in a gravel pile as the boom 22 began to be lifted and then subsequently cleared the pile). In such instance, the controller 102 may be configured to disregard any load weight calculations made before the detected load variation to ensure that the final load weight determined for the implement 22 is reliable. For instance, as an example, when a significant load variation is detected between successive measurement regions (e.g., the various regions 166, 168, 170, 172, 174, 176, 178, 180 defined in FIG. 3), the controller 102 may flag the previous measurement regions as inaccurate and may only consider the load weight calculations provided for the subsequent measurement regions when determining the final load weight for the implement 22.

For instance, Table 1 below provides an example dataset in which the boom 24 is moved from its minimum boom position 160 across its travel range 164 to the maximum boom position 162, with average implement load weights being calculated for the various measurement regions 166, 168, 170, 172, 174, 176, 178, 180 defined along the travel range 164. As shown in Table 1, a significant load variation exists between the average implement load weight calculated for the second measurement region 168 (e.g., 3 kilograms (kg)) and the average implement load weight calculated for third measurement region 170 (e.g., 1000 kg). In addition, a significant load variation exists between the average implement load weight calculated for the third measurement region 170 (e.g., 1000 kg) and the average implement load weight calculated for fourth measurement region 172 (e.g., 2000 kg). However, as shown in Table 1, the average implement load weights calculated from the fourth measurement region 172 to the eighth measurement region 180 are relatively stable. In such an embodiment, assuming the load variation occurring between the second and third measurement regions 168, 170 exceeds the load variance threshold set for the implementation of the disclosed system 100, the controller 102 may be configured to discard or ignore the average implement load weights calculate for the previous measurement regions (e.g., the first and second measurement regions 166, 168). Similarly, assuming the load variation occurring between the third and fourth measurement regions 170, 172 exceeds the load variance threshold, the controller 102 may be configured to discard or ignore the average implement load weights calculate for the previous measurement regions (e.g., the first, second, and third measurement regions 166, 168. 170). Given that the load variation for the subsequent measurement regions is relatively small, the controller 102 may be configured to utilize the average implement load weights calculated for the remaining measurement regions (e.g., the fourth, fifth, sixth, seventh, and eighth measurement regions 172, 174, 176, 178, 180) to determine the final load weight for the implement 22. It should be appreciated that such an example dataset may be experienced, for example, when an operator begins lifting an empty force, picks up a pallet half-way through the third measurement region 170 (e.g., so that the third measurement region 170 is average half empty and half full), and then raises the pallet through the remainder of the boom's travel range 164.

TABLE 1 Example Load Weight Calculations Measurement Region Average Implement Load Weight (kg) Region #1 (166) 0 Region #2 (168) 3 Region #3 (170) 1000 Region #4 (172) 2000 Region #5 (174) 2010 Region #6 (176) 1990 Region #7 (178) 2010 Region #8 (180) 2010

Another example dataset is provided below in Table 2. As shown in Table 2, a significant load variation exists between the average implement load weight calculated for the second measurement region 168 (e.g., 4500 kilograms (kg)) and the average implement load weight calculated for third measurement region 170 (e.g., 3000 kg). However, as shown in Table 3, the average implement load weights calculated from the third measurement region 170 to the eighth measurement region 180 are relatively stable. In such an embodiment, assuming the load variation occurring between the second and third measurement regions 168, 170 exceeds the load variance threshold set for the implementation of the disclosed system 100, the controller 102 may be configured to discard or ignore the average implement load weights calculate for the previous measurement regions (e.g., the first and second measurement regions 166, 168). Given that the load variation for the subsequent measurement regions is relatively small, the controller 102 may be configured to utilize the average implement load weights calculated for the remaining measurement regions (e.g., the third, fourth, fifth, sixth, seventh, and eighth measurement regions 170, 172, 174, 176, 178, 180) to determine the final load weight for the implement 22. It should be appreciated that such an example dataset may be experienced, for example, when an operator begins lifting a bucket through a tall gravel pile and is still breaking through the pile across the first and second measurement regions 166, 168, with the bucket clearing the pile at the third measurement region 170 and then subsequently being raised through the remainder of the boom's travel range 164.

TABLE 2 Example Load Weight Calculations Measurement Region Average Implement Load Weight (kg) Region #1 (166) 5000 Region #2 (168) 4500 Region #3 (170) 3000 Region #4 (172) 2990 Region #5 (174) 3010 Region #6 (176) 3000 Region #7 (178) 3000 Region #8 (180) 3010

It should be appreciated that the specific load variation threshold set for implementation of the disclosed system 100 may generally vary depending on the specific configuration of the associated work vehicle 10 and/or the sensitivity and/or accuracy of the various sensors. However, in one embodiment, the load variation threshold may be set as a predetermined percentage of the maximum load weight for the implement 22. For instance, in one embodiment, the load variation threshold may correspond to a load value ranging from about 10% to about 20% of the maximum load weight for the implement 22.

A graphical representation of another example dataset shown in FIG. 7. As shown in FIG. 7, the plot graphs the instantaneous implement load weight (indicated by solid line 187) calculated by the controller 102 as the boom 24 is moved across its travel range 164 as a function of time. As shown, the implement load weight 187 calculated by the controller 102 is relatively stable from time to t₀ time t₁, significantly increases between time t₁ and time t₂, and then is relatively stable from time t₂ to time t₃. In such an embodiment, if the controller 102 was configured to use all of the load weights 187 determined between times to and t₃, the final load weight calculated based on such load weights 187 (e.g., as indicated by dashed line 189) may be significantly inaccurate. However, by identifying the significant load variation occurring between time t₁ and time t₂ in accordance with aspects of the present subject matter, the controller 102 may be configured to disregard or ignore the load weights calculated prior to time t₂. In such instance, the controller 102 may be configured to only use the load weights calculated following time t₂ to determine the final load weight for the implement 22 (e.g., as indicated by dashed line 191), which may provide a significantly more accurate implement load weight measurement.

Referring particularly now to FIG. 8, a flow diagram of another embodiment of a method 300 for estimating load weights for an implement of a work vehicle is illustrated in accordance with aspects of the present subject matter. In general, the method 300 will be described herein with reference to the work vehicle 10 shown in FIG. 1, as well as the various system components shown in FIG. 2. However, it should be appreciated that the disclosed method 300 may be implemented with work vehicles having any other suitable configuration and/or within systems having any other suitable system configuration. In addition, although FIG. 8 depicts steps performed in a particular order for purposes of illustration and discussion, the methods discussed herein are not limited to any particular order or arrangement. One skilled in the art, using the disclosures provided herein, will appreciate that various steps of the methods disclosed herein can be omitted, rearranged, combined, and/or adapted in various ways without deviating from the scope of the present disclosure.

As shown in FIG. 8, at (302), the method 300 may include controlling the movement of a boom of the work vehicle such that the boom is moved across a plurality of measurement regions defined along an angular travel range of the boom. For instance, as indicated above, the travel range 164 of the boom 24 may be divided into a plurality of measurement regions. In such an embodiment, the controller 102 may be configured to raise and lower the boom 24 across all or a portion of the measurement regions defined across its travel range 164 by controlling the operation of the associated components of the lift assembly 20, such as by the hydraulic pump(s) 116, the boom control valve(s) 118, and the boom cylinder(s) 32, based on the boom movement commands received from the operator. Alternatively, the controller 102 may be configured to automatically control the operation of the associated components of the lift assembly 20 such that the boom 24 is moved at a controlled rate or speed without the necessity of receiving boom movement commands from the operator.

Additionally, at (304), the method 300 may include receiving load-related data associated with a load weight for the implement as the boom is moved across the plurality of measurement regions. For instance, as indicated above, the controller 102 may be configured to receive load-related data associated with the implement load weight from a plurality of sensors, such as one or more pressure sensors 44, 46, position sensors 38, 40, inclination sensors 42, temperature sensors 48, and/or the like. Such data may, for example, include, but is not limited to, pressure measurements related to the fluid pressure of the hydraulic fluid supplied to the boom cylinder(s) 32, position measurements related to the angular position of the boom 24 and/or the implement 22, velocity data for the boom 24 and/or the implement 22, orientation measurements associated with the inclination angle of the work vehicle 10 (e.g., in the pitch direction and/or the roll direction), temperature measurements of the fluid temperature of the hydraulic fluid supplied to the cylinder(s) 32, 34, and/or measurements related to the speed and/or acceleration of the work vehicle 10.

Moreover, at (306), the method 300 may include determining a region load weight for each of the plurality of measurement regions based on the load-related data. Specifically, as indicated above, the controller 102 may be configured to calculate a region load weight for each of the measurement regions across which the boom 24 is moved based on the load-related data received for each measurement region. For instance, the controller 102 may store a dataset of load-related data for each measurement region across which the boom 24 is moved. The controller 102 may then calculate a region load weight for the associated measurement region based on its corresponding dataset.

Referring still to FIG. 8, at (308), the method 300 may include determining that a detected load variation in the region load weights for successive measurement regions of the plurality of measurement regions exceeds a load variation threshold. For instance, as indicated above, the controller 102 may be configured to identify load variations between successive load weight calculations that exceeds a given load variation threshold. For instance, the controller 102 may determine a load differential between the region load weights calculated for each successive pair of measurement regions and compare such load differential to the associated load variation threshold.

Additionally, at (310), the method 300 may include calculating the final load weight for the implement based only on the region load weights determined for a group of measurement regions of the plurality of measurement regions across which the boom was moved after the detected load variation. Specifically, as indicated above, when the controller 102 determines that a load variation exists that exceeds the load variance threshold, the controller 102 may be configured to discard or ignore the load weight calculations made for previous measurement regions. In such instance, the controller 102 may only be configured to use the load weight calculations made of the measurement regions following the detected load variation.

This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined by the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they include structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal languages of the claims. 

What is claimed is:
 1. A method for estimating load weights for an implement of a work vehicle, the method comprising: controlling, with one or more computing devices, movement of a boom of the work vehicle such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom, each measurement region being overlapped by at least one adjacent measurement region of the plurality of overlapping measurement regions across the angular travel range; receiving, with the one or more computing devices, load-related data associated with a load weight for the implement as the boom is moved across the plurality of overlapping measurement regions; determining, with the one or more computing devices, a region load weight for at least one measurement region of the plurality of overlapping measurement regions based on the load-related data; and calculating, with the one or more computing devices, a final load weight for the implement based on the region load weight for the at least one measurement region.
 2. The method of claim 1, wherein calculating the final load weight for the implement comprises averaging the region load weight determined for the at least one measurement region to calculate the final load weight.
 3. The method of claim 1, further comprising: receiving operator-initiated control commands associated with controlling an operation of at least one component of the work vehicle as the boom is moved across the plurality of overlapping measurement regions; identifying a first group of measurement regions of the plurality of overlapping measurement regions across which a variation in the operator-initiated control commands is less than a variation threshold; and identifying at least one second measurement region of the plurality of overlapping measurement regions across which the variation in the operator-initiated control commands exceeds the variation threshold.
 4. The method of claim 3, wherein determining the region load weight for the at least one measurement region comprises determining a region load weight for each measurement region of the first group of measurement regions based on the load-related data received as the boom is moved across the first group of measurement regions.
 5. The method of claim 4, further comprising disregarding the load-related data received as the boom is moved across the at least one second measurement region.
 6. The method of claim 3, wherein the operator-initiated control commands comprise control commands associated with at least one of controlling the operation of a boom cylinder of the work vehicle, adjusting an engine speed of the work vehicle, adjusting a gear ratio of a transmission of the work vehicle or steering the work vehicle.
 7. The method of claim 1, wherein receiving the load-related data comprises receiving sensor data associated with at least one of a pressure of hydraulic fluid supplied to or within a boom cylinder of the work vehicle, a position of the boom, a position of the implement, a velocity of the boom, a velocity of the implement, a temperature of the hydraulic fluid, an inclination angle of the work vehicle, or at least one of speed or acceleration of the work vehicle.
 8. The method of claim 1, wherein determining the region load weight for the at least one measurement region comprises determining a region load weight of each of the plurality of overlapping measurement regions, the method further comprising: comparing the region load weights calculated for successive measurement regions of the plurality of overlapping measurement regions to detect a load variation between the region load weights; and determining that the load variation in the region load weights for the successive measurement regions exceeds a load variation threshold.
 9. The method of claim 8, wherein calculating the final load weight for the implement comprises calculating the final load weight for the implement based only on the region load weights determined for a group of measurement regions of the plurality of non-overlapping measurement regions across which the boom was moved after the detected load variation.
 10. The method of claim 1, wherein each measurement region spans a sub-range of angular boom positions ranging from about 5 degrees to 25 degrees.
 11. The method of claim 1, wherein each measurement region is overlapped by two or more adjacent measurement regions of the plurality of overlapping measurement regions across the angular travel range.
 12. A method for estimating load weights for an implement of a work vehicle, the method comprising: controlling, with one or more computing devices, movement of a boom of the work vehicle such that the boom is moved across a plurality of measurement regions defined along an angular travel range of the boom; receiving, with the one or more computing devices, load-related data associated with a load weight for the implement as the boom is moved across the plurality of measurement regions; determining, with the one or more computing devices, a region load weight for each of the plurality of measurement regions based on the load-related data; determining, with the one or more computing devices, that a detected load variation in the region load weights for successive measurement regions of the plurality of measurement regions exceeds a load variation threshold; and calculating, with the one or more computing devices, the final load weight for the implement based only on the region load weights determined for a group of measurement regions of the plurality of measurement regions across which the boom was moved after the detected load variation.
 13. The method of claim 10, wherein the plurality of measurement regions correspond to a plurality of overlapping measurement regions, each measurement region being overlapped by at least one adjacent measurement region of the plurality of overlapping measurement regions across the angular travel range.
 14. A system for estimating implement load weights for a work vehicle, the system comprising: a lift assembly including a boom and an implement coupled to the boom; a controller configured to control the operation of the lift assembly, the controller including a processor and associated memory, the memory storing instructions, that when implemented by the processor, configure the controller to: control movement of the boom such that the boom is moved across a plurality of overlapping measurement regions defined along an angular travel range of the boom, each measurement region being overlapped by at least one adjacent measurement region of the plurality of overlapping measurement regions across the angular travel range; receive load-related data associated with a load weight for the implement as the boom is moved across the plurality of overlapping measurement regions; determine a region load weight for at least one measurement region of the plurality of overlapping measurement regions based on the load-related data and calculate a final load weight for the implement based on the region load weight determined for the at least one measurement region.
 15. The system of claim 14, wherein the controller is configured to calculate the final load weight by averaging the region load weight determined for the at least one measurement region.
 16. The system of claim 14, wherein the controller is further configured to: receive operator-initiated control commands associated with controlling an operation of at least one component of the work vehicle as the boom is moved across the plurality of overlapping measurement regions; identify a first group of measurement regions of the plurality of overlapping measurement regions across which a variation in the operator-initiated control commands is less than a variation threshold; and identify at least one second measurement region of the plurality of overlapping measurement regions across which the variation in the operator-initiated control commands exceeds the variation threshold.
 17. The system of claim 16, wherein the controller is configured to determine the region load weight for each measurement region of the first group of measurement regions based on the load-related data received as the boom is moved across the first group of measurement regions.
 18. The system of claim 17, wherein the controller is configured to disregard the load-related data received as the boom is moved across the at least one second measurement region.
 19. The system of claim 14, wherein the controller is configured to determine an region load weight for each of the plurality of overlapping measurement regions, the controller being further configured to: compare the region load weights calculated for successive measurement regions of the plurality of overlapping measurement regions to detect a load variation between the region load weights; and determine that the load variation in the region load weights for the successive measurement regions exceeds a load variation threshold.
 20. The system of claim 19, wherein the controller is configured to calculate the final load weight for the implement based only on the region load weights determined for a group of measurement regions of the plurality of non-overlapping measurement regions across which the boom was moved after the detected load variation. 